Top Remote Senior Level Jobs in Buffalo, NY

Designs, deploys, and manages secure, scalable GCP infrastructure using Terraform. Builds CI/CD pipelines, automates infrastructure and application delivery, optimizes cloud performance and costs, and maintains reliability through monitoring and incident management. The role requires deep GCP and Terraform expertise, familiarity with CI/CD tools, and knowledge of containers, Kubernetes, zero-trust security, IAM governance, and cloud compliance.

The Director of People Development leads leadership enablement, manager onboarding, performance management operations, career development, and targeted learning programs. The role partners with cross-functional leaders to support performance cycles, continuous feedback, goal setting, executive coaching, workshops, employee growth, and inclusive high-performing cultures. It also helps scale learning and performance processes across the organization.

Own the company’s demand generation strategy and marketing contribution to pipeline. Responsibilities include selecting target markets and channels, managing campaigns and account-based programs, partnering with AWS and technology partners, creating thought leadership and case studies, running events, managing marketing tools, and reporting on performance. The role requires hands-on B2B marketing leadership focused on measurable pipeline and revenue impact.

Owns healthcare and telehealth operations across clinical, provider, pharmacy, fulfillment, customer support, and technology partners. Responsibilities include managing workflows and SLAs, resolving complex patient and partner issues, developing SOPs and playbooks, preparing launches, monitoring operational metrics, and building scalable processes in an ambiguous, regulated environment.

Supports medical education evaluation and grant-seeking through data manipulation, statistical analysis, reporting, visualization, and stakeholder communication. The role prepares reports, presentations, conference abstracts, and publications using Excel, R, SPSS, SAS, and related tools. It also explores open-ended evaluation questions, manages multiple projects, and applies generative AI to accelerate report drafting, data validation, formatting, and deliverable quality assurance.

Manage the delivery of multi-site EV charging projects and programs across the United States. Coordinate sales, engineering, construction, procurement, finance, legal, software, and portfolio teams while overseeing contracts, schedules, budgets, risks, quality, scope changes, documentation, reporting, and stakeholder communications. The role also resolves project issues, manages dependencies and critical paths, monitors contractor performance, implements project controls, and ensures compliance with procedures.

Senior Solutions Engineer responsible for developing and validating healthcare pricing, billing, and bundling logic; partnering with product, data, and engineering; leading technical discovery and demonstrations; guiding customer API integrations and launches; and translating customer feedback into product improvements. Requires strong healthcare revenue cycle, claims, reimbursement, SQL, API, analytical, and customer-facing technical expertise.

Own Slide’s digital marketing engine across lifecycle email, social, website, paid campaigns, events, webinars, and CRM. Build multi-channel campaigns, landing pages, and conversion paths; manage CMS updates, SEO, database hygiene, workflows, reporting, and LinkedIn publishing. Use funnel metrics to improve lead generation and booked demos while partnering with Events, Product, RevOps, Sales, developers, and agencies.

Develop and support software applications, REST and ASP.NET web services, distributed systems, data integrations, and storage solutions. Analyze requirements, optimize performance, resolve application issues, implement security and data protection, and collaborate with product, business, and QA teams. The role includes technical documentation, quality reviews, managing competing priorities, and mentoring less experienced developers.

Design, build, deploy, and optimize scalable AI and machine learning systems using large datasets. Develop predictive models, recommendation systems, personalization engines, forecasting solutions, generative AI applications, and production ML pipelines. Collaborate with data, backend, and product teams to integrate models into applications, while monitoring performance, data quality, drift, reliability, and cost. Establish best practices for evaluation, experimentation, reproducibility, and deployment, and research emerging AI technologies.